Prateek Tandon
University of Southern California, Carnegie Mellon University
Papers
5
Total Citations
61
H-Index
5
About
Prateek Tandon is a multidisciplinary researcher whose work spans wireless communications, distributed artificial intelligence, probabilistic machine learning, and the emerging frontier of quantum robotics. His early contributions addressed practical challenges in mobile networking, most notably developing techniques for mitigating multi-path fading in mobile mesh networks — work that has garnered 21 citations and reflects his grounding in real-world systems engineering. Tandon has also made meaningful strides in the field of distributed optimization, exploring how multiple autonomous agents can balance exploration and exploitation under uncertainty within the Distributed Constraint Optimization (DCOP) framework, accumulating 17 citations. His doctoral research produced a sophisticated Bayesian Aggregation pipeline for extracting meaningful structure from noisy, correlated sensor observations — a contribution that bridges machine learning and robotic perception, cited 12 times. Perhaps most ambitiously, Tandon has positioned himself at the cutting edge of robotics by authoring foundational primers on quantum robotics, helping to define and communicate an entirely nascent field to the broader research community. Across these diverse domains, his work consistently reflects a drive to tackle complex, interdisciplinary problems at the intersection of intelligence, sensing, and emerging computational paradigms.
Research Focus
Key Achievements
Top Papers
- 1Mitigating multi-path fading in a mobile mesh network21 citations · 2011
- 2
- 3
- 4Quantum Robotics: A Primer on Current Science and Future Perspectives6 citations · 2017
- 5Quantum Robotics5 citations · 2017